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HiveMQ Tech Stack

Enterprise MQTT broker for real-time industrial IoT and edge-to-cloud data

Software Development Landshut, Bayern 51–200 employees Founded 2012 Public Company

HiveMQ operates a distributed MQTT platform designed for industrial IoT deployments at scale. The stack spans Kafka, Kubernetes, and a polyglot backend (Java, Kotlin, Node.js, TypeScript), with React frontends — typical for a data-streaming infrastructure company. Hiring velocity is accelerating with 13 roles in the last 30 days, skewed heavily toward engineering (9) and product (6), signaling investment in platform expansion. Active projects center on AI-first product development and test automation, while pain points cluster around scaling product development, operationalizing AI, and data infrastructure modernization — the signature challenges of a maturing infrastructure vendor moving upmarket.

Tech Stack 32 technologies

What HiveMQ Is Building

Challenges

  • Scaling product development
  • Aligning product design engineering
  • Building high-performing leadership teams
  • Operationalizing ai at scale
  • Ensuring application resiliency
  • Modernizing data infrastructure
  • Improving test coverage
  • Addressing security vulnerabilities
  • Organizational bottlenecks
  • Data governance challenges

Active Projects

  • Ai-first product development operating model
  • Product portfolio across data streaming, data intelligence, and agentic
  • Hivemq platform software for global iot deployments
  • Ci/cd pipeline ownership
  • Ai-driven test scenarios
  • Automated ai driven test scenarios
  • End-to-end test automation
  • Modernizing data infrastructure
  • Improving test coverage and addressing security vulnerabilities
  • Leveraging ai tools for automation

Hiring Activity

Accelerating20 roles · 15 in 30d

Department

Engineering
9
Product
6
Sales
2
Marketing
1

Seniority

Senior
10
VP
5
Manager
2
Director
1
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About HiveMQ

HiveMQ is an industrial IoT and data-streaming platform built on the MQTT standard, enabling enterprises to connect millions of devices and route data in real time across edge and cloud environments. Founded in 2012 and headquartered in Landshut, Germany, the company serves mission-critical operations for large industrial, automotive, and pharmaceutical organizations. The product layer spans data streaming, data intelligence, and agentic capabilities. With 51–200 employees, HiveMQ operates as a public company with global hiring across Germany, United States, Spain, Portugal, Bulgaria, and the United Kingdom.

HeadquartersLandshut, Bayern
Company Size51–200 employees
Founded2012
Hiring MarketsSyria, Bulgaria, United States, Germany, Portugal, Spain, United Kingdom

Frequently Asked Questions

What tech stack does HiveMQ use?

HiveMQ's backend is built on Java and Kotlin, with Kafka for data streaming, Kubernetes for orchestration, and ArgoCD for deployment automation. Frontends use React with Chakra UI. Testing spans Cypress, Selenium, and Jest. Development uses GitHub Actions and workflow tools including Gong.

What is HiveMQ working on?

HiveMQ's current focus includes an AI-first product development model, modernizing data infrastructure, and scaling test automation with AI-driven scenarios. Pain points center on operationalizing AI at scale, ensuring application resiliency, and improving test coverage and security.

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